Machine Learning : Workflow {https://t.co/Ww5FmDMSaA} #rstats #DataScience
— R-bloggers (@Rbloggers) September 19, 2021
Animating Network Evolutions with gganimate {https://t.co/PnT0ItNPO2} #rstats #DataScience
— R-bloggers (@Rbloggers) September 16, 2021
Another 9 R books added to BigBookofR {https://t.co/R0uA3MGPxv} #rstats #DataScience
— R-bloggers (@Rbloggers) September 22, 2021
forester: An AutoML R package for Tree-based Models {https://t.co/p7CZS9emiS} #rstats #DataScience
— R-bloggers (@Rbloggers) September 21, 2021
Beautiful Maps with MazamaSpatialPlots {https://t.co/LEibefSE27} #rstats #DataScience
— R-bloggers (@Rbloggers) September 17, 2021
Parallel R in a nutshell {https://t.co/R5F5tJ75Zh} #rstats #DataScience
— R-bloggers (@Rbloggers) September 20, 2021
Common mistakes we Data Scientists make {https://t.co/hTxlfzlWbn} #rstats #DataScience
— R-bloggers (@Rbloggers) September 17, 2021
How to Change Background Color in ggplot2 {https://t.co/lq4MmHbVSk} #rstats #DataScience
— R-bloggers (@Rbloggers) September 19, 2021
Side-by-Side plots with ggplot2 {https://t.co/PgAmva8sn8} #rstats #DataScience
— R-bloggers (@Rbloggers) September 22, 2021
ARIMA Method from {fable}: The Election is Coming for Turkey? {https://t.co/y4uqVTmoTQ} #rstats #DataScience
— R-bloggers (@Rbloggers) September 21, 2021
Adding text labels to ggplot2 Bar Chart {https://t.co/4ezpgzyulM} #rstats #DataScience
— R-bloggers (@Rbloggers) September 16, 2021
How to Identify Outliers-Grubbs’ Test in R {https://t.co/4OLX9RySUT} #rstats #DataScience
— R-bloggers (@Rbloggers) September 16, 2021
Confidence and prediction intervals explained… (with a Shiny app!) {https://t.co/di0Ii6oAze} #rstats #DataScience
— R-bloggers (@Rbloggers) September 4, 2021
Download recently published book – Learn Data Science with R {https://t.co/SQt1rmWZAL} #rstats #DataScience
— R-bloggers (@Rbloggers) September 14, 2021
Another 9 R books added to BigBookofR {https://t.co/JBy5FDH1eo} #rstats #DataScience
— R-bloggers (@Rbloggers) September 12, 2021
Basic R : Read so many CSV files {https://t.co/BLH2RqOLEs} #rstats #DataScience
— R-bloggers (@Rbloggers) September 2, 2021
Intro to evolutionary algorithms with R for beginners (from scratch) [PART 1] {https://t.co/J2jlk3Y9Lf} #rstats #DataScience
— R-bloggers (@Rbloggers) August 28, 2021
Detecting time series outliers {https://t.co/UlicWcHA09} #rstats #DataScience
— R-bloggers (@Rbloggers) August 29, 2021
The best of both worlds: R meets Python via reticulate {https://t.co/HHhWpwLSGF} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
Machine Learning : Workflow {https://t.co/Ww5FmDMSaA} #rstats #DataScience
— R-bloggers (@Rbloggers) September 19, 2021
Animating Network Evolutions with gganimate {https://t.co/PnT0ItNPO2} #rstats #DataScience
— R-bloggers (@Rbloggers) September 16, 2021
Bayesian Regression Analysis with Rstanarm {https://t.co/zP0GMHOEjx} #rstats #DataScience
— R-bloggers (@Rbloggers) September 1, 2021
Subgroup analysis using a Bayesian hierarchical model {https://t.co/reDHK9RyyA} #rstats #DataScience
— R-bloggers (@Rbloggers) August 31, 2021
R Shiny for beginners: annotated starter code {https://t.co/XZfFVS0Io4} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
Mastering Git and GitHub: the hands-on workshop {https://t.co/eRl01usuIF} #rstats #DataScience
— R-bloggers (@Rbloggers) August 25, 2021
---
title: "RBloggers Top Tweets"
output:
flexdashboard::flex_dashboard:
vertical_layout: scroll
source_code: embed
theme:
version: 4
bootswatch: yeti
css: styles/main.css
---
```{r setup, include=FALSE}
library(flexdashboard)
library(dplyr)
library(httr)
library(lubridate)
library(jsonlite)
library(purrr)
rbloggers <- fromJSON("data/rbloggers.json")
get_tweet_embed <- function(user, status_id) {
url <-
stringr::str_glue(
"https://publish.twitter.com/oembed?url=https://twitter.com/{user}/status/{status_id}&partner=&hide_thread=false"
)
response <- GET(url) %>%
content()
return(shiny::HTML(response$html))
}
```
Column {.tabset .tabset-fade}
-----------------------------------------------------------------------
### Top Tweets - 7 days {.tweet-wall}
```{r}
rblog_7 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 7, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_7_html <-
map2_chr(rblog_7$screen_name, rblog_7$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_7_html}"))
```
### Top Tweets - 30 days {.tweet-wall}
```{r}
rblog_30 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 30, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_30_html <-
map2_chr(rblog_30$screen_name, rblog_30$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_30_html}"))
```